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| Certification Vendor: | IAPP (International Association of Privacy Professionals) |
|---|---|
| Exam Name: | IAPP Certified Artificial Intelligence Governance Professional Exam |
| Exam Number: | AIGP |
| Exam Duration: | 165 (including 15-minute optional break) |
| Real Exam Qty: | 100 |
| Exam Format: | Scenario-based, Multiple-choice |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Exam Price: | USD 649 (members) / USD 799 (non-members) |
| Related Certifications: | CIPM CIPT CIPP |
| Passing Score: | 300 (scaled score out of 500) |
| Recommended Training: | Official AIGP Body of Knowledge & Study Guide IAPP Training & Resources |
| Exam Registration: | IAPP Official Registration Pearson VUE Scheduling |
| Sample Questions: | IAPP AIGP Sample Questions |
| Exam Way: | Online remote proctored or in-person at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; open to all professionals |
| Official Syllabus URL: | https://iapp.org/certify/aigp |
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NEW QUESTION # 93
A company ' s AI-powered hiring tool is found to be consistently ranking male candidates higher than female candidates with similar qualifications.
Which of the following is the most immediate and critical governance action required to address this issue?
Answer: D
Explanation:
The correct answer is A because the most immediate governance step when a significant AI issue is identified is to formally log the incident within the organization's incident management system. AI governance frameworks emphasize structured incident response processes to ensure issues are properly documented, tracked, escalated, and addressed in a controlled manner. Logging the incident triggers established workflows, including investigation, stakeholder notification, and remediation planning. While notifying stakeholders, auditing the system, or retraining the model are important follow-up actions, they should occur after the issue is formally recorded and managed through governance channels. This ensures accountability, traceability, and consistent handling of risks, particularly in cases involving bias and potential discrimination.
NEW QUESTION # 94
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions. One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
If XYZ does not deploy and use the Al hiring tool responsibly in the United States, its liability would likely increase under all of the following laws EXCEPT?
Answer: D
Explanation:
In the United States, the use of AI hiring tools must comply with anti-discrimination laws, accessibility laws, and privacy laws to avoid increasing liability. Anti-discrimination laws (A) ensure that hiring practices do not unlawfully discriminate against protected classes. Accessibility laws (C) require that hiring tools are accessible to all applicants, including those with disabilities. Privacy laws (D) govern the handling of personal data during the hiring process. Product liability laws (B), however, typically apply to the safety and reliability of physical products and would not generally increase liability specifically related to the responsible use of AI hiring tools in the employment context.
NEW QUESTION # 95
The OECD's Ethical AI Governance Framework is a self-regulation model that proposes to prevent societal harms by:
Answer: B
Explanation:
The OECD's Ethical AI Governance Framework emphasizes balancing AI innovation with ethical considerations to prevent societal harms while fostering technological progress.
NEW QUESTION # 96
What is the most important reason to document the results of AI testing?
Answer: B
Explanation:
Documenting AI testing results creates a verifiable audit trail, which is essential for accountability, regulatory compliance, and demonstrating that risks were properly assessed and mitigated.
NEW QUESTION # 97
CASE STUDY
Please use the following to answer the next question:
A leading insurance provider that offers a range of coverage options to individuals has decided to utilize AI to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. The company has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM").
The company intends to use its historical customer data - including applications, policies and claims - and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed to a human underwriter for final review.
The company and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. They have designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness and reliability of its output.
After the first month in production, the company realizes that the LLM declines a higher percentage of women's applications.
The best approach to enable a customer who wants information on the AI model's parameters for underwriting purposes is to provide:
Answer: A
Explanation:
An AI model card is the appropriate mechanism for providing transparent, structured information about the model's purpose, parameters, data use, evaluation results, and limitations. It gives customers meaningful insight into how the AI contributes to underwriting decisions without exposing proprietary details.
NEW QUESTION # 98
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